Publication | Closed Access
Accessing the deep web
18
Citations
2
References
2008
Year
Unknown Venue
EngineeringMachine LearningPeriodic ExtractionSemantic WebText MiningInformation RetrievalData ScienceData IntegrationContent AnalysisDeep Web ContentKnowledge DiscoveryWebometricsWeb ScienceComputer ScienceDeep LearningWeb MiningWeb IntelligenceWeb Information SystemContent ProcessingDeep Web
Prevailing wisdom assumes that there are well-defined, effective and efficient methods for accessing Deep Web content. Unfortunately, there are a host of technical and non-technical factors that may call this assumption into question. In this paper, we present the findings from work on a software system, which was commissioned by the British Broadcasting Corporation (BBC). The system requires stable and periodic extraction of Deep Web content from a number of online data sources. The insight from the project brings an important issue to the forefront and under-scores the need for further research into access technology for the Deep Web.
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